Back to search

Article

Mapping the gene space at single-cell resolution with gene signal pattern analysis

2023-11-27

Abstract excerpt

In single-cell sequencing analysis, several computational methods have been developed to map the cellular state space, but little has been done to map or create embeddings of the gene space. Here, we formulate the gene embedding problem, design tasks with simulated single-cell data to evaluate representations, and establish ten relevant baselines. We then present a graph signal processing approach we call gene si...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e6552859-4882-510a-85c5-0451cc83b4cc
DOI
10.1101/2023.11.26.568492
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Mapping the gene space at single-cell resolution with gene signal pattern analysisDOI 10.1101/2023.11.26.568492
Select a neighboring publication to make it the new centre.